Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SÖDERQVIST Jakob | 83 |
| 2 | LUDVIGSSON Tobias | 76 |
| 3 | AHLSSON Jacob | 68 |
| 5 | LYCHOU Viktor | 78 |
| 6 | FORSSELL Hugo | 86 |
| 9 | LOVIDIUS Edvin | 70 |
| 11 | AHLSSON Jonathan | 57 |
| 12 | PEDERSEN Eric | 61 |
| 15 | STÅLBERG Albin | 78 |
| 18 | ANSARI Amir Arsalan | 71 |
| 19 | LENNARTSSON Hugo | 69 |
| 21 | LARSSON David | 73 |
| 22 | LOVIDIUS Gustav | 68 |